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Invalid type <class 'NoneType'> for key MULTI_HEAD_LAMBDA #121

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Invalid type <class 'NoneType'> for key MULTI_HEAD_LAMBDA #121

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2 changes: 1 addition & 1 deletion lib/config/default.py
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Original file line number Diff line number Diff line change
Expand Up @@ -35,7 +35,7 @@
# loss params
_C.LOSS = CN(new_allowed=True)
_C.LOSS.LOSS_NAME = ''
_C.LOSS.MULTI_HEAD_LAMBDA = None
_C.LOSS.MULTI_HEAD_LAMBDA = False
_C.LOSS.FL_GAMMA = 0.0 # focal loss gamma
_C.LOSS.CLS_POS_WEIGHT = 1.0 # classification loss positive weights
_C.LOSS.OBJ_POS_WEIGHT = 1.0 # object loss positive weights
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6 changes: 2 additions & 4 deletions lib/models/YOLOP.py
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Expand Up @@ -561,7 +561,7 @@ def forward(self, x):
cache.append(x if block.index in self.save else None)
out.insert(0,det_out)
return out


def _initialize_biases(self, cf=None): # initialize biases into Detect(), cf is class frequency
# https://arxiv.org/abs/1708.02002 section 3.3
Expand All @@ -586,9 +586,7 @@ def get_net(cfg, **kwargs):
input_ = torch.randn((1, 3, 256, 256))
gt_ = torch.rand((1, 2, 256, 256))
metric = SegmentationMetric(2)
model_out,SAD_out = model(input_)
detects, dring_area_seg, lane_line_seg = model_out
Da_fmap, LL_fmap = SAD_out
detects, dring_area_seg, lane_line_seg = model(input_)
for det in detects:
print(det.shape)
print(dring_area_seg.shape)
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